Matthew Schmitz

@mtvector.bsky.social

Evolutionary neuroscientist 🐳 seeking cool papers

Very proud of two new preprints from the lab: 1) CREsted: to train sequence-to-function deep learning models on scATAC-seq atlases, and use them to decipher enhancer logic and design synthetic enhancers. This has been a wonderful lab-wide collaborative effort. www.biorxiv.org/content/10.1...

CREsted: modeling genomic and synthetic cell type-specific enhancers across tissues and species

Sequence-based deep learning models have become the state of the art for the analysis of the genomic regulatory code. Particularly for transcriptional enhancers, deep learning models excel at decipher...

biorxiv.org

First post on this platform 👋. Glad to reconnect with old friends, and also learn from new contacts. Will post about intersecting themes: human evolution, genetics (esp. aDNA), neuroscience & cognition. Currently focusing on brain organoids and early developmental changes that may have had an impact

cortical organoid [image credit: O. Leonardi, who is leading this collaborative project]